Kevitan vs Tërbuni Pukë: prediction and stats
2nd Division - Group AGroup A - 17Kick-off on March 10, 2019 at 12:00 AM (UTC)Kompleksi Sportiv i Klubit Olimpik, Tiranë
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kevitan have 1 win, 1 draw and 13 defeats; Tërbuni Pukë have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | Partizani Tirana II(home) | 0-7 | 2nd Division - Group A |
| Apr 28, 2018 | Klosi(home) | 2-5 | 2nd Division - Group A |
| Apr 22, 2018 | Veleçiku Koplik(away) | 1-7 | 2nd Division - Group A |
| Apr 15, 2018 | Tirana II(home) | 0-2 | 2nd Division - Group A |
| Apr 7, 2018 | Vora(away) | 0-5 | 2nd Division - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2019 | Luzi 2008(home) | 2-2 | 2nd Division - Group A |
| Feb 17, 2019 | Kukësi II(home) | 7-0 | 2nd Division - Group A |
| Dec 16, 2018 | Sopoti Librazhd(home) | 1-0 | 2nd Division - Group A |
| Dec 9, 2018 | Vllaznia Shkodër II(away) | 1-2 | 2nd Division - Group A |
| Dec 2, 2018 | Tirana II(home) | 3-0 | 2nd Division - Group A |
How many goals should we expect?
Kevitan score 1.2 and concede 3.9 goals per match over their last 15; Tërbuni Pukë score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kevitan | 1.2 | 3.9 | 1 | 9/15 | 12/15 |
| Tërbuni Pukë | 1.9 | 0.9 | 6 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Tërbuni Pukë | 22 | 11 | 5 | 6 | 39 | 28 | 38 |
A question about Kevitan vs Tërbuni Pukë?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy